SYED ABBAS SHAH

Computer Science Undergraduate | AI & Cybersecurity Enthusiast

Islamabad, PK.

About

Highly motivated Computer Science undergraduate with a proven track record in developing AI-powered applications, robust cybersecurity tools, and full-stack web solutions. Leveraged expertise in machine learning and network technologies to deliver impactful academic and team projects, demonstrating strong capabilities in system design, data analysis, and secure development practices.

Work

Webdoc Pvt. Ltd.

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IT Support & Web and Network Foundations Intern

Islamabad, Pakistan

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Summary

Provided critical IT support and contributed to web and network infrastructure, ensuring seamless technical operations and system reliability.

Highlights

Delivered essential IT support, resolving technical issues for end-users and maintaining operational continuity.

Assisted in comprehensive networking tasks, contributing to the configuration and maintenance of network infrastructure.

Performed website troubleshooting and maintenance, ensuring optimal functionality and user experience.

Executed routine system maintenance and technical operations, enhancing overall system performance and stability.

Education

University of Hertfordshire

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BSc Computer Science

Certificates

Google Cybersecurity Professional Certificate

Coursera

Google AI Essentials

Coursera

Skills

Programming

Python, SQL, HTML, CSS, JavaScript.

Cybersecurity

EASM, Asset Discovery, Risk Assessment, Network Fundamentals.

Tools

SQLite, Postman, Git.

Projects

External Attack Surface Management (EASM) Tool

Summary

Developed a comprehensive External Attack Surface Management (EASM) platform to identify and mitigate digital risks.

Deep Learning CIFAR-10 Classifier

Summary

Designed and implemented a deep learning model for image classification using the CIFAR-10 dataset.

Carbon Emission Calculator

Summary

Collaborated on an interactive web application designed to calculate device-specific carbon emissions.

AI X-Ray Pneumonia Detection System

Summary

Developed a full-stack AI system for X-Ray pneumonia detection, integrating robust backend and intuitive frontend components.